提交 2f62c332 编写于 作者: M MRXLT

update imagenet demo

上级 0637d81f
...@@ -12,17 +12,14 @@ ...@@ -12,17 +12,14 @@
# See the License for the specific language governing permissions and # See the License for the specific language governing permissions and
# limitations under the License. # limitations under the License.
from paddle_serving_server.plugin_service import PluginService from paddle_serving_server.web_service import WebService
import sys import sys
import cv2 import cv2
import base64 import base64
from PIL import Image
from StringIO import StringIO
import numpy as np import numpy as np
from image_server import start_serving
class ImageService(PluginService): class ImageService(WebService):
def set_param(self): def set_param(self):
self.image_mean = [0.485, 0.456, 0.406] self.image_mean = [0.485, 0.456, 0.406]
self.image_std = [0.229, 0.224, 0.225] self.image_std = [0.229, 0.224, 0.225]
...@@ -115,5 +112,7 @@ class ImageService(PluginService): ...@@ -115,5 +112,7 @@ class ImageService(PluginService):
return res_feed, fetch return res_feed, fetch
image_service = ImageService(name="image", model=sys.argv[1], port=9291) image_service = ImageService(name="image")
image_service.start_service() image_service.load_model_config(sys.argv[1])
image_service.prepare_server(workdir=sys.argv[2], port=9393, device="cpu")
image_service.run_server()
...@@ -21,7 +21,7 @@ import os ...@@ -21,7 +21,7 @@ import os
import numpy as np import numpy as np
def predict(image_path): def predict(image_path, server):
image = open(image_path).read() image = open(image_path).read()
image = base64.b64encode(image) image = base64.b64encode(image)
...@@ -30,20 +30,19 @@ def predict(image_path): ...@@ -30,20 +30,19 @@ def predict(image_path):
req["fetch"] = ["score"] req["fetch"] = ["score"]
req = json.dumps(req) req = json.dumps(req)
url = "http://127.0.0.1:9291/image/prediction" url = server
headers = {"Content-Type": "application/json"} headers = {"Content-Type": "application/json"}
r = requests.post(url, data=req, headers=headers) r = requests.post(url, data=req, headers=headers)
if r.status_code == requests.codes.ok: if r.status_code == requests.codes.ok:
score = r.json()["score"] score = r.json()["score"]
score = np.array(score) score = np.array(score)
print("max score : {} class {}".format(np.max(score), np.argmax(score))) print("picture {} max score : {} class {}".format(
image_path, np.max(score), np.argmax(score)))
else: else:
print("predict {} error".format(image_path)) print("predict {} error".format(image_path))
if __name__ == "__main__": if __name__ == "__main__":
folder = "./to_longteng/n01440764" server = "http://127.0.0.1:9393/image/prediction"
file_list = os.listdir(folder) image_path = "./data/n01440764_10026.JPEG"
for f in file_list: predict(image_path, server)
image_path = folder + "/" + f
predict(image_path)
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import sys
from paddle_serving_server import OpMaker
from paddle_serving_server import OpSeqMaker
from paddle_serving_server import Server
def start_serving():
op_maker = OpMaker()
read_op = op_maker.create('general_reader')
general_infer_op = op_maker.create('general_infer')
general_response_op = op_maker.create('general_response')
op_seq_maker = OpSeqMaker()
op_seq_maker.add_op(read_op)
op_seq_maker.add_op(general_infer_op)
op_seq_maker.add_op(general_response_op)
server = Server()
server.set_op_sequence(op_seq_maker.get_op_sequence())
server.set_num_threads(24)
server.load_model_config(sys.argv[1])
port = int(sys.argv[2])
server.prepare_server(workdir="work_dir1", port=port, device="cpu")
server.run_server()
if __name__ == "__main__":
start_serving()
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